My NCBISign In

Display Settings:

Format
Items per page
Sort by

Send to:

Choose Destination

    Results: 1 to 20 of 109

    1.

    Predicting transcription factor activities from combined analysis of microarray and ChIP data: a partial least squares approach.

    Boulesteix AL, Strimmer K.

    Theor Biol Med Model. 2005 Jun 24;2:23.PMID: 15978125 [PubMed - indexed for MEDLINE]Related articlesFree article

    2.

    Transcriptome network component analysis with limited microarray data.

    Galbraith SJ, Tran LM, Liao JC.

    Bioinformatics. 2006 Aug 1;22(15):1886-94. Epub 2006 Jun 9.PMID: 16766556 [PubMed - indexed for MEDLINE]Related articlesFree article

    3.

    Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data.

    Gao F, Foat BC, Bussemaker HJ.

    BMC Bioinformatics. 2004 Mar 18;5:31.PMID: 15113405 [PubMed - indexed for MEDLINE]Related articlesFree article

    4.

    Systematic identification of cell cycle regulated transcription factors from microarray time series data.

    Cheng C, Li LM.

    BMC Genomics. 2008 Mar 3;9:116.PMID: 18315882 [PubMed - indexed for MEDLINE]Related articlesFree article

    5.

    A model-based optimization framework for the inference of regulatory interactions using time-course DNA microarray expression data.

    Thomas R, Paredes CJ, Mehrotra S, Hatzimanikatis V, Papoutsakis ET.

    BMC Bioinformatics. 2007 Jun 29;8:228.PMID: 17603872 [PubMed - indexed for MEDLINE]Related articlesFree article

    6.

    Inferring transcriptional regulatory networks from high-throughput data.

    Wang RS, Wang Y, Zhang XS, Chen L.

    Bioinformatics. 2007 Nov 15;23(22):3056-64. Epub 2007 Sep 22.PMID: 17890736 [PubMed - indexed for MEDLINE]Related articlesFree article

    7.

    Motif-directed network component analysis for regulatory network inference.

    Wang C, Xuan J, Chen L, Zhao P, Wang Y, Clarke R, Hoffman E.

    BMC Bioinformatics. 2008;9 Suppl 1:S21.PMID: 18315853 [PubMed - indexed for MEDLINE]Related articlesFree article

    8.

    An ensemble learning approach to reverse-engineering transcriptional regulatory networks from time-series gene expression data.

    Ruan J, Deng Y, Perkins EJ, Zhang W.

    BMC Genomics. 2009 Jul 7;10 Suppl 1:S8.PMID: 19594885 [PubMed - indexed for MEDLINE]Related articlesFree article

    9.

    Transcriptional regulatory network refinement and quantification through kinetic modeling, gene expression microarray data and information theory.

    Sayyed-Ahmad A, Tuncay K, Ortoleva PJ.

    BMC Bioinformatics. 2007 Jan 23;8:20.PMID: 17244365 [PubMed - indexed for MEDLINE]Related articlesFree article

    10.

    Inferring yeast cell cycle regulators and interactions using transcription factor activities.

    Yang YL, Suen J, Brynildsen MP, Galbraith SJ, Liao JC.

    BMC Genomics. 2005 Jun 10;6(1):90.PMID: 15949038 [PubMed - indexed for MEDLINE]Related articlesFree article

    11.

    Reconstruction of Escherichia coli transcriptional regulatory networks via regulon-based associations.

    Zare H, Sangurdekar D, Srivastava P, Kaveh M, Khodursky A.

    BMC Syst Biol. 2009 Apr 14;3:39.PMID: 19366454 [PubMed - indexed for MEDLINE]Related articlesFree article

    13.

    Statistical methods in integrative analysis for gene regulatory modules.

    Zeng L, Wu J, Xie J.

    Stat Appl Genet Mol Biol. 2008;7(1):Article 28. Epub 2008 Oct 10.PMID: 18976224 [PubMed - indexed for MEDLINE]Related articlesFree article

    14.

    Identifying regulatory targets of cell cycle transcription factors using gene expression and ChIP-chip data.

    Wu WS, Li WH, Chen BS.

    BMC Bioinformatics. 2007 Jun 8;8:188.PMID: 17559637 [PubMed - indexed for MEDLINE]Related articlesFree article

    15.

    A Gibbs sampler for the identification of gene expression and network connectivity consistency.

    Brynildsen MP, Tran LM, Liao JC.

    Bioinformatics. 2006 Dec 15;22(24):3040-6. Epub 2006 Oct 23.PMID: 17060361 [PubMed - indexed for MEDLINE]Related articlesFree article

    16.

    Inferring activity changes of transcription factors by binding association with sorted expression profiles.

    Cheng C, Yan X, Sun F, Li LM.

    BMC Bioinformatics. 2007 Nov 16;8:452.PMID: 18021409 [PubMed - indexed for MEDLINE]Related articlesFree article

    17.

    Nonlinear differential equation model for quantification of transcriptional regulation applied to microarray data of Saccharomyces cerevisiae.

    Vu TT, Vohradsky J.

    Nucleic Acids Res. 2007;35(1):279-87. Epub 2006 Dec 14.PMID: 17170011 [PubMed - indexed for MEDLINE]Related articlesFree article

    18.

    Reconstruction of genetic association networks from microarray data: a partial least squares approach.

    Pihur V, Datta S, Datta S.

    Bioinformatics. 2008 Feb 15;24(4):561-8. Epub 2008 Jan 18.PMID: 18204062 [PubMed - indexed for MEDLINE]Related articlesFree article

    19.

    Inferring transcription factor targets from gene expression changes and predicted promoter occupancy.

    Yeo ZX, Yeo HC, Yeo JK, Yeo AL, Li Y, Clarke ND.

    J Comput Biol. 2009 Feb;16(2):357-68.PMID: 19193152 [PubMed - indexed for MEDLINE]Related articles

    20.

    Modelling the network of cell cycle transcription factors in the yeast Saccharomyces cerevisiae.

    Cokus S, Rose S, Haynor D, Grønbech-Jensen N, Pellegrini M.

    BMC Bioinformatics. 2006 Aug 16;7:381.PMID: 16914048 [PubMed - indexed for MEDLINE]Related articlesFree article

    Display Settings:

    Format
    Items per page
    Sort by

    Send to:

    Choose Destination

    Supplemental Content

    Find related data

    Write to the Help Desk